1. Da Grizzle "Domestic Violence" Episode

    29:59

    from imu vessey / Added

    1 Play / / 0 Comments

    Da Grizzle

    + More details
    • Construction Crane

      03:07

      from Paul Crumrine / Added

      110 Plays / / 0 Comments

      I wanted to test the Inspire and try to get some video of a very tall steel crane that is being used to position large prefab concrete walls for a new luxury apartment complex. Several things made me a bit nervous. One, the Inspire is stil in the testing stage for me. Two, I wasn't sure if the metal in the crane would affect the Inspire's compass. Three, the wind was gusty...look at the flag on top of the crane. I was pleased with the video, considering the buffeting it was taking up there (around 200 ft).

      + More details
      • Inspire First Test Flight

        01:35

        from Paul Crumrine / Added

        78 Plays / / 0 Comments

        A quick test flight of the Inspire with a new camera and gimbal. It was over my neighborhood. Also the new firmware makes for a rock-steady aerial platform. Very impressive.

        + More details
        • Visualizing Robot Orientation

          00:25

          from Vincent Chow / Added

          6 Plays / / 0 Comments

          This was week 13, revisited, of "How to Make Almost Anything," covering applications programming. After completing my final project, I wrote a script in MATLAB to display the calculated orientation of the robot. Plotted are the orientation calculated from raw data, and the orientation after applying a Kalman filter for eliminating noise from the accelerometer and drift from the gyro.

          + More details
          • FabBot Segway/Land Rover

            01:03

            from Vincent Chow / Added

            24 Plays / / 0 Comments

            This was my final project for "How to Make Almost Anything" at MIT. I designed and fabricated a robot that runs two modes of operation; in the first mode, it attempts to balance itself as an inverted pendulum; an ATmega328p chip collects data from an on-board 6-DOF IMU, applies a Kalman filter to accurately determine its orientation, and implements a PID controller in attempts to correct errors in positioning. If the robot senses its orientation is near the horizontal, it switches to the second mode of operation - the land rover mode. Everything except the battery and the servo motors were fabricated using the typical materials and machines in a fab lab.

            + More details
            • Balancing FabBot Test

              00:10

              from Vincent Chow / Added

              32 Plays / / 0 Comments

              This is a first test of the Balancing Fab Bot, my final project for "How to Make Almost Anything."

              + More details
              • Mu:Brace

                02:51

                from DrPity / Added

                10 Plays / / 0 Comments

                Wearable MIDI-Controller for Live Expression. © 2012 // Gunnar Oledal, Michael Schade

                + More details
                • PFAT 2014

                  07:36

                  from David Nichols / Added

                  102 Plays / / 0 Comments

                  Peacock Flats Anarchy Tournament 2014

                  + More details
                  • Modified FreeIMU_updates cube GUI

                    01:58

                    from Mario Cannistrà / Added

                    12 Plays / / 0 Comments

                    I slightly modified the cube GUI to get continuous data instead of bursts. Teensy sketch modified accordingly. Accel and Gyro noise values are zeroed on micro if zero motion is detected by comparison with values at rest. Sensor at rest initially, moved at about 1':15" then returned to initial position. Remaining drift seems to be now linked only with compass data quality / algorithm / parameters. Sensor binary offsets have been calibrated. Accel and Magnetometer calibration still to be performed. Hope to further improve results.

                    + More details
                    • Inertial Navigation Systems - The Ellipse Series

                      01:10

                      from SBG Systems / Added

                      This new series of miniature inertial systems benefits from a new design, new sensors, new capabilities, and new algorithms. “We have selected state-of-the-art MEMS sensors, especially very low noise gyroscopes that greatly enhance Ellipse performance. We integrated cutting-edge GNSS receiver while keeping a small size,” declares Alexis Guinamard, CTO of SBG Systems. With the Ellipse Series, SBG Systems sets up new standard for miniature inertial systems. “Being the only one on the market to design both high-end and entry-level sensors, we are able to upgrade miniature sensors capabilities by injecting some advanced and proven filtering and features inspired from high end inertial navigation systems” adds the CTO. Additionally to higher accuracy, we added for the same budget an improved FIR and rejection filtering, robust IP68 enclosure, high output rate, RTK corrections, automatic alignment, etc. Weighting from 45 grams, Ellipse sensors are incredibly flexible. The Ellipse-A model provides 3D orientation and heave. For navigation, you can connect your own GPS with the Ellipse-E, or use the internal one by choosing the Ellipse-N model. The amazing Ellipse-D completes this state-of-the-art miniature sensor family. This model is a little larger than the rest of the series because it integrates a Survey-grade L1/L2 GNSS receiver with two antennas for unmatched heading and position accuracy.

                      + More details

                      What are Tags?

                      Tags

                      Tags are keywords that describe videos. For example, a video of your Hawaiian vacation might be tagged with "Hawaii," "beach," "surfing," and "sunburn."